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2 2017

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The calculation of an armor wear of the drum ball mill of Burshtyn TPP by the analytical method

Kovalenko T., Mysak S.

Journal of New Technologies in Environmental Science

2017

Vol. 1, nr 2

86--91

The power industry is one of the basic components of Ukraine’s economy, the effectiveness of which contributes to the state progress. The basis of the power industry is the electric power industry, which uses coal as primary power source. About 30% of the total electric power is produced on coal-fired power plants in Ukraine. Such amount of electric power generation requires efficient combustion of fossil fuel, i.e. coal. The coal entering a boiler furnace undergoes appropriate preliminary preparation. The fuel is dried and ground in drum ball mills, after which it is fed into the dust hopper, and then in the boiler through the burners. The efficiency of combustion depends on the quality of the prepared coal dust in drum ball mills, the performance of which deteriorates in the process of operation because of the need to periodically check and adjust the work of the mills. One of the key operating parameters of a drum ball mill is the drum armor wear and ball charge of a drum, which affect the performance and specific electric power consumption for dust preparation. During the mill operation, the ball charge is maintained at a constant maximum level by the periodic addition of balls to the drum, which provides the best possible performance with satisfactory quality of the finished dust.

Information technology for processing digital textures in aerospace monitoring systems

Kovalenko T.

ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes

2017

Vol. 6, No 4

9--14

In this article, we developed and described a method for segmentation of informative textured regions of an image that are close in color and structure, consisting of the stages of primary and secondary segmentation that provide the solution to the problem of localization of image areas. Step-by-step processing of the image by the proposed method ensures maximum elimination of localization errors in false regions. In addition, the transition from one processing step to the next decreases the analyzed amount of information, namely the area of segmented image areas. In order to reduce the time during the practical implementation of the method, it becomes possible to parallelize the processing and solving problems in a time scale close to the real one. The input parameters are an aerial photograph, a priori information about the areas to be segmented, and meteorological and navigation-technical conditions for aerial photography. Output parameters are images with localized informative areas.